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| Good Initializations of Variational Bayes for Deep Models | Oct 18, 2018 | Bayesian InferenceGeneral Classification | —Unverified | 0 |
| GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models | Nov 5, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| GRADE: Graph Dynamic Embedding | Jul 16, 2020 | Community DetectionDynamic Community Detection | —Unverified | 0 |
| Gradient-based inference of abstract task representations for generalization in neural networks | Jul 24, 2024 | Language ModellingVariational Inference | —Unverified | 0 |
| Variational Laplace for Bayesian neural networks | Nov 20, 2020 | BenchmarkingVariational Inference | —Unverified | 0 |
| Gradient Regularisation as Approximate Variational Inference | Nov 23, 2020 | Variational Inference | —Unverified | 0 |
| Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows | Jul 17, 2022 | Variational Inference | —Unverified | 0 |
| PGODE: Towards High-quality System Dynamics Modeling | Nov 11, 2023 | DisentanglementVariational Inference | —Unverified | 0 |
| Neural Graph Collaborative Filtering Using Variational Inference | Nov 20, 2023 | Collaborative FilteringRecommendation Systems | —Unverified | 0 |
